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Paper Citation Record · LEDGER

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction

As of 7 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2507.05849.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.05849 v1

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:22:30.390776Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

84 of 84 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48bf305f-9ab3-481d-9000-ea204b4e4463 · outbound

This paper cites Machine learning regression techniques for the silage maize yield prediction using time-series images of landsat 8 oli,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Machine learning regression techniques for the silage maize yield prediction using time-series images of landsat 8 oli,

Reference 1

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Observation 5b55a965-2af1-4665-9652-16ee8d071323 · outbound

This paper cites Forecasting yield by integrating agrarian factors and machine learning models: A survey,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Forecasting yield by integrating agrarian factors and machine learning models: A survey,

Reference 2

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Observation f843108f-3961-40ed-a5fb-d62804c2571d · outbound

This paper cites Kstage: A knowledge-guided spatial-temporal attention graph learning network for crop yield prediction,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Kstage: A knowledge-guided spatial-temporal attention graph learning network for crop yield prediction,

Reference 3

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Observation eee4541d-3d21-4417-9170-283a1f0d93a9 · outbound

This paper cites Crop yield estimation using time-series modis data and the effects of cropland masks in ontario, canada,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield estimation using time-series modis data and the effects of cropland masks in ontario, canada,

Reference 4

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Observation ff9a5f1f-4aa3-40d4-9cd4-7a4c42d2783c · outbound

This paper cites Crop yield prediction in agriculture: A comprehensive review of machine learning and deep learning ap- proaches, with insights for future research and sustainability,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield prediction in agriculture: A comprehensive review of machine learning and deep learning ap- proaches, with insights for future research and sustainability,

Reference 5

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Observation 728022cd-6ca6-45a3-9713-50ca350c95f5 · outbound

This paper cites Corn yield prediction with ensemble cnn-dnn,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Corn yield prediction with ensemble cnn-dnn,

Reference 6

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Observation c4d7efca-9d33-4c57-a501-13b0c1fc85db · outbound

This paper cites Crop yield prediction: An operational approach to crop yield modeling on field and subfield level with machine learning models,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield prediction: An operational approach to crop yield modeling on field and subfield level with machine learning models,

Reference 7

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Observation eb2a02eb-4c59-412d-81a3-f8fd3f7e3385 · outbound

This paper cites Deep gaussian process for crop yield prediction based on remote sensing data,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep gaussian process for crop yield prediction based on remote sensing data,

Reference 8

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Observation 1cf14787-eb3a-4a27-8932-f1d5fc03757f · outbound

This paper cites A cnn-rnn framework for crop yield prediction,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A cnn-rnn framework for crop yield prediction,

Reference 9

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Observation a873256f-82c3-4c28-b26b-c18e39600ccf · outbound

This paper cites Deep learning for remote sensing data: A technical tutorial on the state of the art,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning for remote sensing data: A technical tutorial on the state of the art,

Reference 10

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Observation fac04ec1-e5c9-46ac-b473-305e86410490 · outbound

This paper cites Transformers in remote sensing: A survey,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Transformers in remote sensing: A survey,

Reference 11

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Source-reported events for the cited work

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Observation ba62f2d1-c7f1-438e-9d6b-cf1039c514d3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

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Observation 3f4cae43-873b-40a2-97f2-dd3bf8637ab8 · outbound

This paper cites Deep learning in remote sensing applications: A meta-analysis and review,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning in remote sensing applications: A meta-analysis and review,

Reference 13

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Source-reported events for the cited work

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Observation 7f59915f-2c10-4c19-8ece-cefd5ed225af · outbound

This paper cites Levit: a vision transformer in convnet’s clothing for faster inference,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Levit: a vision transformer in convnet’s clothing for faster inference,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 766be730-2718-4caa-ac7b-93fc182c4131 · outbound

This paper cites Crop yield prediction using deep neural networks,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield prediction using deep neural networks,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f240dd5f-04bf-4723-a777-b2c537cccc18 · outbound

This paper cites Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern brazil,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern brazil,

Reference 16

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Observation cd01af75-f331-4dd2-a5ae-cc160fda5eb0 · outbound

This paper cites Deep learning for multi-source data-driven crop yield prediction in northeast china,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning for multi-source data-driven crop yield prediction in northeast china,

Reference 17

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Observation 6d388223-09eb-4c97-9be9-9f978c5d84e6 · outbound

This paper cites Edge-guided recurrent positioning network for salient object detection in optical remote sensing images,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Edge-guided recurrent positioning network for salient object detection in optical remote sensing images,

Reference 18

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Observation a6bdd0e8-847a-4f10-ac16-6eed444e143d · outbound

This paper cites Revisiting edge detection in convolutional neural networks,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Revisiting edge detection in convolutional neural networks,

Reference 19

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Observation 5440d787-5418-4090-a64a-7c77463532ab · outbound

This paper cites Learning under concept drift: A review,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Learning under concept drift: A review,

Reference 20

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Observation 02c83793-1848-4775-8d84-22a3c63dd72e · outbound

This paper cites A survey on concept drift adaptation,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A survey on concept drift adaptation,

Reference 21

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Observation bc711b91-459d-49b1-8e27-705bd363cda3 · outbound

This paper cites Deep learning in agriculture: A survey,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning in agriculture: A survey,

Reference 22

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Source-reported events for the cited work

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Observation fb5e2ee0-893f-476a-84e3-18c9bf9a9a83 · outbound

This paper cites Deep learning for crop yield prediction: a systematic literature review,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning for crop yield prediction: a systematic literature review,

Reference 23

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Observation d2043e22-1d7b-434b-bc2f-1849add67a5a · outbound

This paper cites Crop yield predic- tion using machine learning and deep learning techniques,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield predic- tion using machine learning and deep learning techniques,

Reference 24

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Observation 9efa2455-8074-4890-95e6-6c68c806d138 · outbound

This paper cites Deep learning,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning,

Reference 25

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Observation dbfcb33a-15c0-4e57-9bbc-e4bd80e835f1 · outbound

This paper cites You only look once: Unified, real-time object detection,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction You only look once: Unified, real-time object detection,

Reference 26

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Observation 93fbbf47-40f4-47a5-a89c-7c0bb16d9384 · outbound

This paper cites Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning,

Reference 27

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Observation 3c087bdd-a7c7-4641-aa77-e594a988b627 · outbound

This paper cites Deep learning for vegetation health forecasting: a case study in kenya,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning for vegetation health forecasting: a case study in kenya,

Reference 28

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Source-reported events for the cited work

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Observation 55b060f8-5218-4351-8e13-d3d352132e53 · outbound

This paper cites Panoptic segmentation of satellite image time series with convolutional temporal attention networks,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Panoptic segmentation of satellite image time series with convolutional temporal attention networks,

Reference 29

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Source-reported events for the cited work

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Observation 6a124dba-bbca-4ff0-8059-738450fa5be3 · outbound

This paper cites A gnn-rnn approach for harnessing geospatial and temporal information: applica- tion to crop yield prediction,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A gnn-rnn approach for harnessing geospatial and temporal information: applica- tion to crop yield prediction,

Reference 30

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Observation cb59f2f7-f7f5-40c8-9614-5c348b139723 · outbound

This paper cites A time-dependent parameter estimation framework for crop modeling,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A time-dependent parameter estimation framework for crop modeling,

Reference 31

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Source-reported events for the cited work

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Observation 49bc42a0-b113-4cae-b702-631012db90ac · outbound

This paper cites Advanc- ing agricultural research using machine learning algorithms,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Advanc- ing agricultural research using machine learning algorithms,

Reference 32

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Source-reported events for the cited work

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Observation 40909d86-716b-48fc-8ee8-d9a19acae678 · outbound

This paper cites Learning long- term crop management strategies with cyclesgym,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Learning long- term crop management strategies with cyclesgym,

Reference 33

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2cb0cd55-a028-45a5-a495-9b9186d33238 · outbound

This paper cites Crop yield prediction with deep convolutional neural networks,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield prediction with deep convolutional neural networks,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9f9f101d-f29b-4a58-80f5-8bf1f9a2261a · outbound

This paper cites Deep learning-based classification of hyperspectral data,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning-based classification of hyperspectral data,

Reference 35

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Observation 6eeba02c-585f-40ee-a76a-69661ef9e764 · outbound

This paper cites Enhancing rice crop health: a light weighted cnn-based disease detection system with mobile application integration,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Enhancing rice crop health: a light weighted cnn-based disease detection system with mobile application integration,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 865f4691-f764-40bf-8240-05ddd8055635 · outbound

This paper cites Comparison of cnn models for application in crop health assessment with participatory sensing,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Comparison of cnn models for application in crop health assessment with participatory sensing,

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6214b210-5013-407b-8349-ab9915c9ca42 · outbound

This paper cites Exploring the synergies of hybrid cnns and vits architectures for computer vision: A survey,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Exploring the synergies of hybrid cnns and vits architectures for computer vision: A survey,

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:26.854479Z digest=sha256:b2e7802643dee04c162b7fac98214e31307f21803719e7c8e9d14bef3c493381

Observation dacd5daf-a6e1-4faf-9628-d8ad20f38674 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Restormer: Efficient transformer for high-resolution image restoration,

Reference 39

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Observation b9d503a0-a2e5-4493-bc39-76c2949dce33 · outbound

This paper cites Attention is all you need,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Attention is all you need,

Reference 40

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source=pdf_text observed=2026-08-06T19:22:26.979132Z digest=sha256:dade6883d1bac030dd1997213d5a85732c5f85640b15cddcb71e17a76ecc4bbb

Observation f225498d-30a2-4335-a034-538e8a4e4d68 · outbound

This paper cites Self-attention generative adversarial networks,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Self-attention generative adversarial networks,

Reference 41

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no resolver link, observed 2026-08-06T19:22:27.044266Z

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Observation 99f053d1-fc10-4ef4-aad9-9e8d3c473e49 · outbound

This paper cites Transformers in vision: A survey,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Transformers in vision: A survey,

Reference 42

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source=pdf_text observed=2026-08-06T19:22:27.104791Z digest=sha256:463d0b79935e4211451c39d600ebfe9e45affaf9ba9555b37855c3b5bc0d8c77

Observation a88a89b1-18e8-43dc-8f76-808c9a1d4ba8 · outbound

This paper cites Extended vision transformer (exvit) for land use and land cover classification: A mul- timodal deep learning framework,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Extended vision transformer (exvit) for land use and land cover classification: A mul- timodal deep learning framework,

Reference 43

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source=pdf_text observed=2026-08-06T19:22:27.149229Z digest=sha256:952471d749967027cf3b4cd454b91ac21bdabff8ec2280eb2a4aa48938c4b7cb

Observation 3dd032f6-e1df-4c54-bf22-047c57dc7c82 · outbound

This paper cites Mmst-vit: Climate change- aware crop yield prediction via multi-modal spatial-temporal vision transformer,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Mmst-vit: Climate change- aware crop yield prediction via multi-modal spatial-temporal vision transformer,

Reference 44

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:27.194723Z digest=sha256:c224bb2235d03e03772fe6a1f101942b83b70fe85fc4a7fbc73969d5f56ef233

Observation 2b061c01-a67a-4273-abc5-f3591212f8a1 · outbound

This paper cites Enhancing crop productivity and sustainability through dis- ease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Enhancing crop productivity and sustainability through dis- ease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model,

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-06T19:22:31.339908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:27.240518Z digest=sha256:071a264b6efa1fee11850154272db6cdd28826919a572b81dbd9f9459b8fb365

Observation 54386e97-eb53-472c-9049-53b3717e5fd8 · outbound

This paper cites Conformer: Local features coupling global representations for visual recognition,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Conformer: Local features coupling global representations for visual recognition,

Reference 46

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 892e2a1c-8636-4178-bd26-f8e918bd680f · outbound

This paper cites Deepyield: A com- bined convolutional neural network with long short-term memory for crop yield forecasting,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deepyield: A com- bined convolutional neural network with long short-term memory for crop yield forecasting,

Reference 47

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raw_fallback, observed 2026-08-06T19:22:31.304202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 245fd15c-b060-46af-a101-b96d0ccfb4bd · outbound

This paper cites Cvt: Introducing convolutions to vision transformers,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Cvt: Introducing convolutions to vision transformers,

Reference 48

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Observation e7b01337-0e27-4e5e-b4e5-a9a3d2db3a36 · outbound

This paper cites Incorporating convolution designs into visual transformers,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Incorporating convolution designs into visual transformers,

Reference 49

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raw_fallback, observed 2026-08-06T19:22:31.280950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:27.473329Z digest=sha256:12fb054661596f0fc7aaa14a77d94076b47157b8b1207844bee59b45814a5900

Observation c0458d5c-8b87-46d3-ad6c-e223a74e59e8 · outbound

This paper cites Escaping the Big Data Paradigm with Compact Transformers.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Escaping the Big Data Paradigm with Compact Transformers

Reference 50

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Observation b8b2ed47-6315-410e-ba62-97af32577f5b · outbound

This paper cites LocalViT: Analyzing Locality in Vision Transformers.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction LocalViT: Analyzing Locality in Vision Transformers

Reference 51

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Observation c75386a4-efcf-4147-9759-ff8f6fefb3a8 · outbound

This paper cites Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding

Reference 52

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local_arxiv, observed 2026-08-06T19:22:30.617953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:27.665116Z digest=sha256:3c6abff4064316646a6beb81cf351b8a3661f71025a6325cbdd22f752b42054f

Observation 88beab83-7db9-4fa3-863c-9f5ced2905ba · outbound

This paper cites End-to-end object detection with transformers,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction End-to-end object detection with transformers,

Reference 53

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no resolver link, observed 2026-08-06T19:22:27.727641Z

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Unavailable: canonical work link unavailable.

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Observation 4f674e9c-5e2a-4db5-b272-f2b8fee4ce52 · outbound

This paper cites Mobile-former: Bridging mobilenet and transformer,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Mobile-former: Bridging mobilenet and transformer,

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-06T19:22:31.258335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:27.793911Z digest=sha256:457bc1184f7e9b87950b7d8b9cc6d754b1a2d7f3c84a9858426451628e56cf0c

Observation 124ea52a-aa85-4310-963d-5524ba710b3f · outbound

This paper cites Tccnet: Temporally consistent context-free network for semi- supervised video polyp segmentation.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Tccnet: Temporally consistent context-free network for semi- supervised video polyp segmentation

Reference 55

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raw_fallback, observed 2026-08-06T19:22:31.245545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 81225313-b69d-4f98-9f99-57ecedcabcc0 · outbound

This paper cites Cross- enhancement transformer for action segmentation,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Cross- enhancement transformer for action segmentation,

Reference 56

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raw_fallback, observed 2026-08-06T19:22:31.233597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation eb4c0917-10b9-4c10-af0e-7fad1d49c0b0 · outbound

This paper cites Coatnet: Marrying convolu- tion and attention for all data sizes,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Coatnet: Marrying convolu- tion and attention for all data sizes,

Reference 57

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9ecb0fc6-b1d4-47ab-9202-dbb632f1c9a3 · outbound

This paper cites Cmt: Convolutional neural networks meet vision transformers. 2022 ieee,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Cmt: Convolutional neural networks meet vision transformers. 2022 ieee,

Reference 58

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e4731fa7-11d1-44a9-a7c7-875b2b5d44c3 · outbound

This paper cites Vitae: Vision transformer advanced by exploring intrinsic inductive bias,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Vitae: Vision transformer advanced by exploring intrinsic inductive bias,

Reference 59

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raw_fallback, observed 2026-08-06T19:22:31.193596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 32a922b3-16f2-4aa7-882e-e214bfad1830 · outbound

This paper cites Dilated Neighborhood Attention Transformer.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Dilated Neighborhood Attention Transformer

Reference 60

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Observation ae11a83c-319f-4d86-be7b-0a244eddfcdb · outbound

This paper cites Per-pixel classification is not all you need for semantic segmentation,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Per-pixel classification is not all you need for semantic segmentation,

Reference 61

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Observation 0fb46a02-82a2-4e83-8579-e208681f794b · outbound

This paper cites Efficientformer: Vision transformers at mobilenet speed,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Efficientformer: Vision transformers at mobilenet speed,

Reference 62

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raw_fallback, observed 2026-08-06T19:22:31.167317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:28.395607Z digest=sha256:ad2e2c73d5c308438f9cdc91f2da4df0c2d81fd42f4945fcef772057c104db56

Observation ba0c76c1-9db5-41d8-b56e-9ca729f5dbf4 · outbound

This paper cites Swin2sr: Swinv2 transformer for compressed image super-resolution and restoration,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Swin2sr: Swinv2 transformer for compressed image super-resolution and restoration,

Reference 63

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raw_fallback, observed 2026-08-06T19:22:31.154568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:28.496960Z digest=sha256:3480691899c609e3a205356e4db239253a78ac455e816c4a0d63ddc8db89ae95

Observation f9aa5ee4-c73b-41bf-af20-e2f2d096bc69 · outbound

This paper cites Vitmatte: Boosting image matting with pre-trained plain vision transformers,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Vitmatte: Boosting image matting with pre-trained plain vision transformers,

Reference 64

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raw_fallback, observed 2026-08-06T19:22:31.142856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:28.594952Z digest=sha256:3be9d79076987d0cbe9305ef8c19c38faa27df56cee4d83c0f0c1bd41c4c86f1

Observation 9135ae6a-2461-4822-93f6-b14e37f1d262 · outbound

This paper cites Batalik, F.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Batalik, F

Reference 65

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raw_fallback, observed 2026-08-06T19:22:31.129550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:28.726112Z digest=sha256:4a450a613da601a63bb35ea5fd843e57db5de58c6c3d30f7ed217d8b99d10b32

Observation ca3fd117-9f3a-4ebc-8335-b9f61f3aac98 · outbound

This paper cites Eca-net: Efficient channel attention for deep convolutional neural networks,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Eca-net: Efficient channel attention for deep convolutional neural networks,

Reference 66

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:22:28.820576Z digest=sha256:2855b5592d973c6362f0819779491509bc79f285608b2b7ee991802742c4d3c6

Observation c3789e9f-2c6c-4c13-af81-0f0f7b91b116 · outbound

This paper cites Dual attention network for scene segmentation,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Dual attention network for scene segmentation,

Reference 67

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Observation 4d089f87-43a4-407e-96fe-1b1e1f8973ff · outbound

This paper cites Concurrent spatial and channel ‘squeeze & excitation’in fully convolutional networks,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Concurrent spatial and channel ‘squeeze & excitation’in fully convolutional networks,

Reference 68

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raw_fallback, observed 2026-08-06T19:22:31.103308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 48ee36ce-5c0e-4bb2-ac19-2105465b3d23 · outbound

This paper cites Cbam: Convolutional block attention module,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Cbam: Convolutional block attention module,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T19:22:28.957016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:22:28.957016Z digest=sha256:95c4444e79fde65dd40b12596163cac93956a8cf46bccb7462dd2f32a53d5865

Observation 15ff350f-1d74-429f-8320-57149341385d · outbound

This paper cites Bottleneck transformers for visual recognition,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Bottleneck transformers for visual recognition,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:31.082896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5d54a393-0650-4e7c-8311-5fc11c1160d9 · outbound

This paper cites Crop yield prediction using multitemporal uav data and spatio-temporal deep learning models,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield prediction using multitemporal uav data and spatio-temporal deep learning models,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:31.069597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 80cfa195-24a4-4c57-b8c0-54de112b5acd · outbound

This paper cites Multispectral crop yield prediction using 3dconvolutional neural networks and attention convolutional lstm approaches,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Multispectral crop yield prediction using 3dconvolutional neural networks and attention convolutional lstm approaches,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:31.057552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bb4f8f22-962a-4434-a338-c7a2a0d39e64 · outbound

This paper cites Con- vlstm–vit: A deep neural network for crop yield prediction using earth observations and remotely sensed data,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Con- vlstm–vit: A deep neural network for crop yield prediction using earth observations and remotely sensed data,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:31.046061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0936c0a6-f184-4ba6-870b-5ead3e42eb9d · outbound

This paper cites Squeeze-and-excitation networks,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Squeeze-and-excitation networks,

Reference 74

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 89c969b6-51cf-442a-af1a-e9d868fc4d14 · outbound

This paper cites An open and large-scale dataset for multi-modal climate change-aware crop yield predictions,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction An open and large-scale dataset for multi-modal climate change-aware crop yield predictions,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:31.027395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 372b75a1-e040-4147-91ae-44f55a3e78ad · outbound

This paper cites A convlstm conjunction model for groundwater level forecasting in a karst aquifer considering connectivity characteristics,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A convlstm conjunction model for groundwater level forecasting in a karst aquifer considering connectivity characteristics,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:31.013932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 70186c1f-075f-4722-87ef-e0ab08aa1535 · outbound

This paper cites Agricultural trade publications and the 2012 midwestern us drought: A missed opportunity for climate risk communication,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Agricultural trade publications and the 2012 midwestern us drought: A missed opportunity for climate risk communication,

Reference 77

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 26d69f1e-fb26-47a7-b1c8-d4186371266a · outbound

This paper cites A 3x3 isotropic gradient operator for image processing,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A 3x3 isotropic gradient operator for image processing,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:30.991683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:29.879448Z digest=sha256:521bf02ea303b13764b38ae22981d474ca00d92a569178ccd93de46c401b6c79

Observation 52de0cf6-8645-44f7-ac49-0f695cebeee2 · outbound

This paper cites A computational approach to edge detection,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A computational approach to edge detection,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:30.981086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:29.920240Z digest=sha256:b806d9fd51c7262cd6f3cf1ac3282af111686b9710c9a8483b3735e73768db9c

Observation a934e43e-3292-4077-856a-83d822d3438a · outbound

This paper cites Computer determination of the constituent structure of biological images,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Computer determination of the constituent structure of biological images,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:30.968636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:30.019218Z digest=sha256:a1ce1afb8c4cafbb8f5ed8233125beda2e02e17508677ef14217cf165df3d055

Observation 08c59944-6815-4611-ba0f-67456e7b75bc · outbound

This paper cites Theory of edge detection,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Theory of edge detection,

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T19:22:30.100846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:22:30.100846Z digest=sha256:1a392bad284db99696fb43e4ac50e9d896ad5784e02a8dff8dc13d17571828d6

Observation 5f197a0a-1ae8-4189-8129-f52ab8ae77b8 · outbound

This paper cites Object enhancement and extraction,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Object enhancement and extraction,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:30.949545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:30.226047Z digest=sha256:8040d7f2cce6fa12c4f816742ba3631e9a817ccf908267ed67b868e2f32ab2fb

Observation d54cd061-1eb8-4f2a-92c8-f75304f9f104 · outbound

This paper cites Machine perception of three-dimensional, so lids,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Machine perception of three-dimensional, so lids,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:30.939795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:22:30.295304Z digest=sha256:f0c3743a64c88bd1ef41c75c6d4d2b391e56aa5376fb1cf6c25d28ce36358475

Observation 31566632-3468-4f3f-b138-cc194444b027 · outbound

This paper cites Optimal filters for extended optical flow,.

DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Optimal filters for extended optical flow,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:22:30.929151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.